Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease.
Michael Tran DuongSandhitsu R DasXueying LyuLong XieHayley RichardsonSharon X XiePaul A Yushkevichnull nullDavid A WolkIlya M NasrallahPublished in: Nature communications (2022)
Alzheimer's disease (AD) is defined by amyloid (A) and tau (T) pathologies, with T better correlated to neurodegeneration (N). However, T and N have complex regional relationships in part related to non-AD factors that influence N. With machine learning, we assessed heterogeneity in 18 F-flortaucipir vs. 18 F-fluorodeoxyglucose positron emission tomography as markers of T and neuronal hypometabolism (N M ) in 289 symptomatic patients from the Alzheimer's Disease Neuroimaging Initiative. We identified six T/N M clusters with differing limbic and cortical patterns. The canonical group was defined as the T/N M pattern with lowest regression residuals. Groups resilient to T had less hypometabolism than expected relative to T and displayed better cognition than the canonical group. Groups susceptible to T had more hypometabolism than expected given T and exhibited worse cognitive decline, with imaging and clinical measures concordant with non-AD copathologies. Together, T/N M mismatch reveals distinct imaging signatures with pathobiological and prognostic implications for AD.
Keyphrases
- cognitive decline
- positron emission tomography
- mild cognitive impairment
- computed tomography
- machine learning
- high resolution
- end stage renal disease
- pet ct
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- genome wide
- pet imaging
- prognostic factors
- multiple sclerosis
- subarachnoid hemorrhage
- patient reported
- fluorescence imaging
- mass spectrometry
- electron transfer